Showing results 114 to 133 of 158
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Issue Date | Title | Author(s) |
2022-08-01 | Quantum Differentially Private Sparse Regression Learning | Du, Y; Hsieh, MH; Liu, T; You, S; Tao, D |
2020-07-23 | Quantum Differentially Private Sparse Regression Learning | Du, Y; Hsieh, M-H; Liu, T; You, S; Tao, D |
2018-01-01 | Quantum divide-and-conquer anchoring for separable non-negative matrix factorization | Du, Y; Liu, T; Li, Y; Duan, R; Tao, D |
2020-03-21 | Quantum noise protects quantum classifiers against adversaries | Du, Y; Hsieh, M-H; Liu, T; Tao, D; Liu, N |
2021-06-01 | Quantum noise protects quantum classifiers against adversaries | Du, Y; Hsieh, MH; Liu, T; Tao, D; Liu, N |
2020-08-01 | Quantum-inspired algorithm for general minimum conical hull problems | Du, Y; Hsieh, M-H; Liu, T; Tao, D |
2022-06-07 | Recent Advances for Quantum Neural Networks in Generative Learning | Tian, J; Sun, X; Du, Y; Zhao, S; Liu, Q; Zhang, K; Yi, W; Huang, W; Wang, C; Wu, X; Hsieh, M-H; Liu, T; Yang, W; Tao, D |
2023-10 | Recent Advances for Quantum Neural Networks in Generative Learning. | Tian, J; Sun, X; Du, Y; Zhao, S; Liu, Q; Zhang, K; Yi, W; Huang, W; Wang, C; Wu, X; Hsieh, M-H; Liu, T; Yang, W; Tao, D |
2018-09-01 | Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions | Peng, H; Zheng, Y; Zhao, Z; Liu, T; Li, J |
2018-03-01 | A Regularization Approach for Instance-Based Superset Label Learning | Gong, C; Liu, T; Tang, Y; Yang, J; Tao, D |
2024-05 | Regularly Truncated M-Estimators for Learning With Noisy Labels. | Xia, X; Lu, P; Gong, C; Han, B; Yu, J; Yu, J; Liu, T |
2021-05-01 | Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states. | Zhang, K; Shi, W; Wang, C; Li, Y; Liu, Z; Liu, T; Li, J; Yan, X; Wang, Q; Cao, Z; Wang, G |
2012-12-20 | Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres | Paterson, AH; Wendel, JF; Gundlach, H; Guo, H; Jenkins, J; Jin, D; Llewellyn, D; Showmaker, KC; Shu, S; Udall, J; Yoo, MJ; Byers, R; Chen, W; Doron-Faigenboim, A; Duke, MV; Gong, L; Grimwood, J; Grover, C; Grupp, K; Hu, G; Lee, TH; Li, J; Lin, L; Liu, T; Marler, BS; Page, JT; Roberts, AW; Romanel, E; Sanders, WS; Szadkowski, E; Tan, X; Tang, H; Xu, C; Wang, J; Wang, Z; Zhang, D; Zhang, L; Ashrafi, H; Bedon, F; Bowers, JE; Brubaker, CL; Chee, PW; Das, S; Gingle, AR; Haigler, CH; Harker, D; Hoffmann, LV; Hovav, R; Jones, DC; Lemke, C; Mansoor, S; Rahman, MU; Rainville, LN; Rambani, A; Reddy, UK; Rong, JK; Saranga, Y; Scheffler, BE; Scheffler, JA; Stelly, DM; Triplett, BA; Van Deynze, A; Vaslin, MFS; Waghmare, VN; Walford, SA; Wright, RJ; Zaki, EA; Zhang, T; Dennis, ES; Mayer, KFX; Peterson, DG; Rokhsar, DS; Wang, X; Schmutz, J |
2016-08-01 | Representative Vector Machines: A Unified Framework for Classical Classifiers | Gui, J; Liu, T; Tao, D; Sun, Z; Tan, T |
2016-08-15 | Revisiting the Stӧber method: Design of nitrogen-doped porous carbon spheres from molecular precursors of different chemical structures. | Tian, H; Liu, J; O'Donnell, K; Liu, T; Liu, X; Yan, Z; Liu, S; Jaroniec, M |
2022-08-09 | Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. | Liu, T; Lu, J; Yan, Z; Zhang, G |
2015-02-01 | Separation of the impacts of climate change and human activity on runoff variations | Zhao, C; Liu, C; Dai, X; Liu, T; Duan, Z; Liu, L; Mitrovic, SM |
2020-10-19 | Sequencing dropout-and-batch effect normalization for single-cell mRNA profiles: a survey and comparative analysis. | Lan, T; Hutvagner, G; Lan, Q; Liu, T; Li, J |
2021-01-01 | Social sustainability in Public–Private Partnership projects: case study of the Northern Beaches Hospital in Sydney | Wang, K; Ke, Y; Liu, T; Sankaran, S |
2018-06-09 | Space-coiling fractal metamaterial with multi-bandgaps on subwavelength scale | Man, X; Liu, T; Xia, B; Luo, Z; Xie, L; Liu, J |